Computational Framework for Applying Electrical Impedance Tomography to Head Imaging

DOI10.1137/19M1245098zbMath1428.65066arXiv1902.05573MaRDI QIDQ5238757

Antti Hannukainen, Valentina Candiani, Nuutti Hyvönen

Publication date: 28 October 2019

Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1902.05573

zbMATH Keywords

principal componentselectrical impedance tomographyshape derivativescomputational head modelinaccurate measurement modeldetection of stroke

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Biomedical imaging and signal processing (92C55) Inverse problems for PDEs (35R30) Mesh generation, refinement, and adaptive methods for boundary value problems involving PDEs (65N50) Numerical methods for inverse problems for boundary value problems involving PDEs (65N21)

Related Items (7)

Contact Adapting Electrode Model for Electrical Impedance Tomography ⋮ Neural networks for classification of strokes in electrical impedance tomography on a 3D head model ⋮ Immersed boundary method for the complete electrode model in electrical impedance tomography ⋮ Series reversion for electrical impedance tomography with modeling errors ^* ⋮ Imaging of conductivity distribution based on a combined reconstruction method in brain electrical impedance tomography ⋮ Simultaneous Reconstruction of Conductivity, Boundary Shape, and Contact Impedances in Electrical Impedance Tomography ⋮ Approximation error method for imaging the human head by electrical impedance tomography*

Uses Software

• TetGen
• Triangle

Cites Work

• Unnamed Item
• Convergence and regularization for monotonicity-based shape reconstruction in electrical impedance tomography
• Fine-tuning electrode information in electrical impedance tomography
• Inverse acoustic and electromagnetic scattering theory.
• Generalized linearization techniques in electrical impedance tomography
• Statistical and computational inverse problems.
• Principal component analysis.
• Simultaneous Reconstruction of Outer Boundary Shape and Admittivity Distribution in Electrical Impedance Tomography
• Polynomial Collocation for Handling an Inaccurately Known Measurement Configuration in Electrical Impedance Tomography
• Compensation for geometric modeling errors by positioning of electrodes in electrical impedance tomography
• RECONSTRUCTION OF DOMAIN BOUNDARY AND CONDUCTIVITY IN ELECTRICAL IMPEDANCE TOMOGRAPHY USING THE APPROXIMATION ERROR APPROACH
• Newton regularizations for impedance tomography: a numerical study
• Detecting Inclusions in Electrical Impedance Tomography Without Reference Measurements
• Electrical impedance tomography and Calderón's problem
• Existence and Uniqueness for Electrode Models for Electric Current Computed Tomography
• Electrical Impedance Tomography
• Smoothened Complete Electrode Model
• Electrical impedance tomography
• TetGen, a Delaunay-Based Quality Tetrahedral Mesh Generator
• The Inverse Conductivity Problem with an Imperfectly Known Boundary in Three Dimensions
• The Inverse Conductivity Problem with an Imperfectly Known Boundary

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